Welcome to Anbu Huang’s HomePage

*News: Writing a new book: Trustworthy federated learning (2023).
*News: Two papers are prepared to be submitted.

About me:

A lifelong learner and practitioner, with a strong passion and interest in scientific research and product, achieving business impact by combining effective leadership with deep technical knowledge and skills, continuing to expand the boundaries of knowledge and innovation.

In recent years, I work on the mathematical foundations of Deep Learning, where the ultimate goal is to build trustworthy and safe AI. Tradition AI approaches are rely heavily on the availability of large-scale and high-quality data but do not provide a mechanism for securely obtaining and using these data. This motivate us to seek for a new training paradigm, which enables multiple devices collaboratively to train a shared model without compromising data privacy and security. More research results can be found in:
Publications              Books              Projects              Patents              Services       

In my past life, I also worked on the applied AI, I led a technical team at Tencent, and built the world's largest online music recommender system, serving more than 100 million users around the world. We tried to leverage different AI approaches to analyze our customers' listening history and predict their favorite songs, including but not limited to natural language processing, music information retrieval, deep neural network. This work is challenging and requires us to build statistical models for human emotions and interests.